Association between psychosocial determinants of adverse childhood experiences and severe early childhood caries among First Nations children
Bibliographic record
Abstract
AIM: To determine whether psychosocial determinants of adverse childhood experiences (ACE), from pregnancy to 2 years old, are associated with severe early childhood caries (S-ECC) in Indigenous children. DESIGN: Secondary data analyses from an ECC prevention trial among 344 First Nations mother-child dyads living on- and off-reserve in Ontario and Manitoba, Canada. Stratified (on-/off-reserve) logistic regression, controlling for mother's age and income source, assessed three categories of psychosocial ACE determinants: alcohol/drug misuse, household financial hardship (overcrowding and food insecurity) and emotional/social well-being (Perceived Stress Scale (PSS-14), sense of personal control (SOC), social support, subjective social status). RESULTS: Household overcrowding [adjusted odds ratio (AOR) = 1.89 (95% CI: 1.06-3.38)], food insecurity [AOR = 2.86 (1.53-5.34)] and mothers' high perceived stress [AOR = 2.48 (1.40-4.37)] were associated with S-ECC (dmft > 9) for those on-reserve. Maternal SOC had a protective effect for off-reserve children [AOR = 0.17 (0.03-0.95)]. CONCLUSIONS: Increased efforts to reduce psychosocial ACE determinants are paramount to decreasing Indigenous children's vulnerability to S-ECC.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".